Molecular Modeling Insights on the Pharmaceuticals and Hypotheses of Alzheimer's Disease

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F25%3A50021689" target="_blank" >RIV/62690094:18470/25:50021689 - isvavai.cz</a>

Result on the web

<a href="https://www.eurekaselect.com/article/142820" target="_blank" >https://www.eurekaselect.com/article/142820</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2174/0109298673318143240823064403" target="_blank" >10.2174/0109298673318143240823064403</a>

Result language

angličtina

Original language name

Molecular Modeling Insights on the Pharmaceuticals and Hypotheses of Alzheimer's Disease

Original language description

Alzheimer&apos;s disease (AD) stands as the predominant contributor to dementia cases. The ongoing developments in our understanding of its pathogenesis have sparked the interest of researchers, driving them to explore innovative treatment approaches. Existing therapies incorporating cholinesterase inhibitors and/or NMDA antagonists have shown limited improvement in alleviating symptoms. This, in turn, highlights the urgency for the pursuit of more effective therapeutic options. Given the annual rise in the number of individuals affected by dementia, it is imperative to allocate resources and efforts towards the exploration of novel therapeutic options. This review aims to provide a comprehensive overview of the AD-related hypotheses, along with the computational approaches employed in research within each hypothesis. In this comprehensive review, the authors shed light on using various computational tools, including diverse case studies, in the pursuit of finding efficacious treatments for AD. The development of more sophisticated diagnostic techniques is crucial, enabling early detection and intervention in the battle against this challenging condition. The potential treatments investigated in this analysis are poised to assume ever more significant functions in both preventing and treating AD, ultimately enhancing the management of the condition and the overall well-being of individuals affected by AD.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30104 - Pharmacology and pharmacy

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Current medicinal chemistry

ISSN

0929-8673

e-ISSN

1875-533X

Volume of the periodical

32

Issue of the periodical within the volume

25

Country of publishing house

AE - UNITED ARAB EMIRATES

Number of pages

29

Pages from-to

5110-5138

UT code for WoS article

001308405600001

EID of the result in the Scopus database

2-s2.0-85215111074